JIITA, vol. 1, no. 1, pp.6-11, Jun, 2017
IoT and Ontology-Based Modeling for Real-Time Rainfall and Water Level Monitoring and Warning System
Kristine Bernadette Barrameda, Sang Hoon Lee, Su-Yeon Kim
Department of Computer and Information Engineering, Daegu University,
Abstract: The premise of this study is to create a disaster risk reduction framework based on the application of Internet-of-Things (IoT) and ontology modeling for the province of Iloilo, Philippines, to efficiently reduce impact of damage and loss in the community amid a disastrous event. The proposed framework is composed of rain gauges, depth and water flow sensors to detect information. It gathers and records the measurements of rainfall and water level and allows to be connected to the web through TCP/IP WiFi network. Through this, the system is able to provide real-time information to individuals who monitor the weather condition. Moreover, a data threshold is set for the warning system to distinguish variations from the norm and automatically warn the community of a possible danger. Our general approach is to develop a realtime rain condition monitoring and warning system and suggest necessary warning responses and advisories based on developing an ontology architecture.
Keyword: rainfall monitoring system; warning system; IoT; ontologybased modeling